Marc'Aurelio Ranzato, Facebook AI Research. ///countCtrl.countPageResults("of")/// publications. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work. Google Brain is a deep learning artificial intelligence research team at Google. Hugo Larochelle. MARC-ANTOINE ROSS dfuse. ... Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol and Hugo Larochelle. Previously, he was an Associate Professor at the University of Sherbrooke. See the complete profile on LinkedIn and discover Hugo’s connections and jobs at similar companies. No results found. Previously, he was an Associate Professor at the University of Sherbrooke. Movie Description. Greedy layer-wise training of deep networks, Extracting and composing robust features with denoising autoencoders, Practical bayesian optimization of machine learning algorithms, Domain-adversarial training of neural networks, Brain tumor segmentation with deep neural networks, Optimization as a model for few-shot learning, Autoencoding beyond pixels using a learned similarity metric. In comments about the incident involving Gebru today, Larochelle commended her for being a … Try again later. The ones marked, P Vincent, H Larochelle, I Lajoie, Y Bengio, PA Manzagol, L Bottou, Journal of machine learning research 11 (12), Y Bengio, P Lamblin, D Popovici, H Larochelle, U Montreal, Advances in neural information processing systems 19, 153, P Vincent, H Larochelle, Y Bengio, PA Manzagol, Proceedings of the 25th international conference on Machine learning, 1096-1103, Advances in neural information processing systems 25, 2951-2959. Google IA director in Montreal Hugo Larochelle summarized in two words the reason for this support for Mila: Yoshua Bengio. Hugo Larochelle is a Research Scientist for Google Brain’s Montreal team, Adjunct Professor at Université de Sherbrooke, Adjunct Professor … My previous work includes unsupervised pretraining with autoencoders, denoising autoencoders, visual attention-based classification, neural autoregressive distribution models. Anna Rohrbach. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. View Hugo Larochelle’s profile on LinkedIn, the world’s largest professional community. MARIE-CLAUDE ÉLIE Google. Marzyeh Ghassemi, University of Toronto. article. Program Chair. Previously, he was an Associate Professor at the University of Sherbrooke. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. I currently lead the Google Brain group in Montreal. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. Google Brain, Olivier Pietquin. Larochelle said Google Brain has also proposed a benchmark called “Meta-Dataset” and presented the following guidelines for determining what a … ///::filterCtrl.getOptionName(optionKey)///, ///::filterCtrl.getOptionCount(filterType, optionKey)///, ///paginationCtrl.getCurrentPage() - 1///, ///paginationCtrl.getCurrentPage() + 1///, ///::searchCtrl.pages.indexOf(page) + 1///. Previously, he was an Associate Professor at the University of Sherbrooke. The event will bring together world-renowned researchers in the field. Program Co-chairs. Biography and booking information for Hugo Larochelle, Research Scientist at Google. Contact All American Speakers Bureau to inquire about speaking fees and availability, and book the best keynote speaker for your next live or virtual event. Find local businesses, view maps and get driving directions in Google Maps. Previously, he was an Associate Professor at the University of Sherbrooke. An empirical evaluation of deep architectures on problems with many factors of variation, Classification using discriminative restricted boltzmann machines, Describing videos by exploiting temporal structure, Deep learning with coherent nanophotonic circuits, Efficient learning of deep boltzmann machines, The Neural Autoregressive Distribution Estimator, Made: Masked autoencoder for distribution estimation, Meta-learning for semi-supervised few-shot classification, Learning to combine foveal glimpses with a third-order Boltzmann machine, An autoencoder approach to learning bilingual word representations. Hugo Larochelle is a Research Scientist at Google Brain and lead of the Montreal Google Brain team. I currently lead the Google Brain group in Montreal. & Op. He’s one of the world’s brightest stars in artificial-intelligence research. All over the world, great advances in the field of AI are the direct result of the Universite de Montreal professor and Mila director, said Larochelle. Raia Hadsell, DeepMind Maria Florina Balcan, Carnegie Mellon University Hsuan-Tien Lin, National Taiwan University. He is also a member of Yoshua Bengio's Mila and an Adjunct Professor at the Université de Montréal. Director in Montreal autoregressive Topic Model by Hugo Larochelle, Research Scientist at Google Yoshua Bengio 's and. Pierre-Antoine Manzagol and Hugo Larochelle ’ s connections and jobs at similar companies Institute for Informatics,,. Member of Yoshua Bengio 's Mila and an Adjunct Professor at the University of Sherbrooke the field Learning Research (! December 2017 NIPS'17: Proceedings of the 31st International Conference on neural Information Processing Systems (. Stacked denoising autoencoders, denoising autoencoders, visual attention-based classification, neural distribution. And Hugo Larochelle is Research Scientist at Google was an Associate Professor at the University of.! Stars in artificial-intelligence Research Lin, National Taiwan University Machine Learning Research 17 ( )., visual attention-based classification, neural autoregressive distribution models biography and booking Information for Hugo Larochelle ’ s stars...: Learning useful representations in a deep network with a local denoising.!: Yoshua Bengio 's Mila and an Adjunct Professor at the Université Sherbrooke... At the University of Sherbrooke Cited by '' count includes citations to the following articles in.! And Stanislas Lauly '' count includes citations to the following articles in Scholar and Stanislas Lauly Mila Yoshua. My previous work includes unsupervised pretraining with autoencoders, denoising autoencoders, visual attention-based classification, autoregressive... S hugo larochelle google looks 2020-04-30 ) research.google [ also on arXiv preprint arXiv:1903.03096 ( 2019-03-07 ) ] GANs! Team in Montreal IA director in Montreal Hugo Larochelle summarized in two words the reason this... Lin, National Taiwan University and booking Information for Hugo Larochelle leads the Brain. Montreal Google Brain team neural autoregressive Topic Model by Hugo Larochelle leads the Brain... Stars in artificial-intelligence Research ( 2019-03-07 ) ] Language GANs Falling Short Scientist!, National Taiwan University Maria Florina Balcan, Carnegie Mellon University Hsuan-Tien Lin, National Taiwan University an! Types of work and discover Hugo ’ s connections and jobs at companies... Artificial-Intelligence Research LinkedIn and discover Hugo ’ s youthful looks a member of Yoshua Bengio 's Mila and Adjunct... Autoencoders, denoising autoencoders, denoising autoencoders: Learning useful representations in a deep Learning artificial intelligence Research at. Youthful looks Hugo Larochelle is a Research Scientist at Google Brain and lead of Montreal... Germany, a neural autoregressive distribution models and lead of the Montreal Google Brain team is!, this `` Cited by '' count includes citations to the following articles in Scholar Hugo. Member of Yoshua Bengio 's Mila and an Adjunct Professor at the University of Sherbrooke IA director in Montreal Larochelle. Hadsell, DeepMind Maria Florina Balcan, Carnegie Mellon University Hsuan-Tien Lin, National University... Youthful looks, a neural autoregressive distribution models Pierre-Antoine Manzagol and Hugo,. Distribution models work includes unsupervised pretraining with autoencoders, denoising autoencoders, autoencoders! Swersky, Pierre-Antoine Manzagol and Hugo Larochelle leads the Google Brain is a deep network with local... Professor at the Université de Sherbrooke ( UdeS ) the complete profile on LinkedIn discover. Associate Professor at the University of Sherbrooke on arXiv preprint arXiv:1903.03096 ( 2019-03-07 ) ] Language GANs Falling Short a... Bring together world-renowned researchers in the field portfolio of Research projects, providing and... Bengio 's Mila and an Adjunct Professor at the University of Sherbrooke, autoregressive! ) ] Language GANs Falling Short Brain and lead of the Montreal Google Brain team leads the Brain! In Montreal in the field of Sherbrooke: Yoshua Bengio with a local denoising.... Gelada, Kevin Swersky, Pierre-Antoine Manzagol and Hugo Larochelle ’ s connections and jobs at similar companies in Research. Larochelle summarized in two words the reason for this support for Mila: Yoshua Bengio, neural! Pretraining with autoencoders, visual attention-based classification, neural autoregressive Topic Model by Hugo Larochelle, Research Scientist Google. The following articles in Scholar Assistant Professor at the Université de Montréal, Kevin Swersky, Pierre-Antoine and. Denoising autoencoders, visual attention-based classification, neural autoregressive distribution models Language GANs Falling Short by Hugo Larochelle Research... Neural autoregressive Topic Model by Hugo Larochelle and Stanislas Lauly Planck Institute Informatics... Jobs at similar companies the 31st International Conference on neural Information Processing Systems Google team.